The study of Internet traffic is relevant in order to improve the
quality of service of users. Being able to know which are the most
popular services and the hours with most active users can let us
identify the amount of inbound and outbound traffic produced, and
hence design a network able to support the activity expected. The
implementation of a network considering that knowledge can reduce
the waiting time of users considerably, improving the users’
experience in the web.
Analysis of users’ traffic and user demand patterns already exist.
However, the data used in these studies is not renewed, thus the
results found can be obsolete and considerable changes would have
happened. In this bachelor’s thesis, it is studied the amount of
inbound and outbound traffic produced considering different
applications and the evolution when regarding previous and actual
data has been taken into account. This would let us understand the
changes produced from 2007 to 2015 and observe the tendencies
nowadays. In addition, it has been analyzed the user demand patterns
in the beginning of 2016 and it has been contrasted with previous
results.
The evolution of traffic has shown changes in users’ preferences,
although their demand patterns are still the same as previous years.
The results found in this thesis confirmed the expectations about an
increase of streaming media Internet traffic; it was proved that
streaming media traffic is the dominant total traffic, with Netflix as
the major contributor.